{"id":"W3139050279","doi":"","title":"Hydrocarbon (Methane or Oil) and Carbon Dioxide Seepage into Marine, Lacustrine, and Terrestrial Environments: Emissions and Impacts on Local to Global Scales I Posters","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Methane; Carbon dioxide; Environmental science; Hydrocarbon; Earth science; Methane emissions; Fossil fuel; Geology; Oceanography; Greenhouse gas; Waste management; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001314874,0.0003423271,0.0003017373,0.000006213067,0.0001163297,0.00003920238,0.0001631482,0.0001291097,0.00001985472],"category_scores_gemma":[0.0001371612,0.0002871992,0.0000348318,0.0001768535,0.0003465509,0.0001048819,0.00104791,0.0001980019,0.00001798317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250535,"about_ca_system_score_gemma":0.000007629359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866239,"about_ca_topic_score_gemma":0.001216479,"domain_scores_codex":[0.9981698,0.00008060702,0.000286255,0.0007171051,0.0003439338,0.0004023433],"domain_scores_gemma":[0.9988218,0.00008556361,0.00008798694,0.0001831161,6.35798e-7,0.0008208827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001130295,0.0001056977,0.8528517,0.00004240289,0.00005710822,0.0002258762,0.001015513,0.008121602,0.01809802,0.000006707439,0.000164011,0.1181811],"study_design_scores_gemma":[0.005883501,0.003692162,0.8965514,0.0003173027,0.0002771547,0.000199851,0.003481384,0.0766349,0.001407639,0.0001853637,0.00918729,0.002182044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939442,0.00006573282,0.0001459855,0.002463109,0.00005404189,0.0001582779,0.000006395432,0.00004405456,0.003118232],"genre_scores_gemma":[0.9939876,0.0004063228,0.003689875,0.001559014,0.00007782364,0.00001060344,0.0000079346,0.00003088526,0.0002299154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159991,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006755914796328598,"score_gpt":0.2130380310933298,"score_spread":0.2062821162970012,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}